采用感官定量描述分析法(SQDA)对A(JA1~JA3)、B(JB1~JB3)、C(JC1~JC3)三组复合香型白酒9个样品的风味结构进行分析,结果表明:三组复合香型白酒在香气评分上差异不显著,粮香、焦香、麦芽香突出,在口感评分上差异显著,A组白酒各维度口感...采用感官定量描述分析法(SQDA)对A(JA1~JA3)、B(JB1~JB3)、C(JC1~JC3)三组复合香型白酒9个样品的风味结构进行分析,结果表明:三组复合香型白酒在香气评分上差异不显著,粮香、焦香、麦芽香突出,在口感评分上差异显著,A组白酒各维度口感评分高于其他两组。采用顶空-气相色谱质谱联用技术(HS-GC-MS)对3种白酒挥发性化合物组成进行检测分析,共检测到148种挥发性物质。相关性分析结果显示,异丁醛、3-甲基呋喃、二甲基二硫醚、巴豆酸、环氧丙烷、丙烯醛和草酸只在A组白酒中被检测出来,丁酸乙酯在B组白酒中含量最高,JA3中含量偏低,表明3组白酒样品间存在明显的风味物质种类和含量差异。同步结合特征差异代谢物分析挖掘出74个VIP>1的潜在差异代谢物,A vs B组、A vs C组、B vs C组分别有14种、7种、4种化合物呈现极显著性差异(p<0.01),这些含量具有显著差异性的化合物可能与复合香型白酒风味特征的差异具有重要联系。综上所述,本研究采用两种技术协同分析,获得了3种白酒更全面的挥发性风味信息,解析了三组复合香型白酒的风味结构特征及差异,为深入研究复合香型白酒风味形成的机理奠定了基础。展开更多
为解决互联网终端接入安全问题,保证无线网状网络部署规模,应用主服务协议(master service agreement,MSA)设计一款功能完善、实用性强的无线网络安全系统。首先,设计和搭建系统架构和运行环境;其次,分别完成对网状节点发现、网状连接...为解决互联网终端接入安全问题,保证无线网状网络部署规模,应用主服务协议(master service agreement,MSA)设计一款功能完善、实用性强的无线网络安全系统。首先,设计和搭建系统架构和运行环境;其次,分别完成对网状节点发现、网状连接管理、美国机动工程师协会(Society of Automotive Engineers,SAE)认证、网状钥匙分配器(management of key distribution,MKD)与密钥管理、四次握手过程等模块的设计,保证系统功能实现效果;最后,对系统安全性进行验证。结果表明:在MSA的应用背景下,所设计的无线网络安全系统可以在确保认证准确度的基础上,有效地缩小认证时延,完全符合预期设计标准和要求。展开更多
The inability of traditional privacy-preserving models to protect multiple datasets based on sensitive attributes has prompted researchers to propose models such as SLOMS,SLAMSA,(p,k)-Angelization,and(p,l)-Angelizatio...The inability of traditional privacy-preserving models to protect multiple datasets based on sensitive attributes has prompted researchers to propose models such as SLOMS,SLAMSA,(p,k)-Angelization,and(p,l)-Angelization,but these were found to be insufficient in terms of robust privacy and performance.(p,l)-Angelization was successful against different privacy disclosures,but it was not efficient.To the best of our knowledge,no robust privacy model based on fuzzy logic has been proposed to protect the privacy of sensitive attributes with multiple records.In this paper,we suggest an improved version of(p,l)-Angelization based on a hybrid AI approach and privacy-preserving approach like Generalization.Fuzz-classification(p,l)-Angel uses artificial intelligence based fuzzy logic for classification,a high-dimensional segmentation technique for segmenting quasi-identifiers and multiple sensitive attributes.We demonstrate the feasibility of the proposed solution by modelling and analyzing privacy violations using High-Level Petri Nets.The results of the experiment demonstrate that the proposed approach produces better results in terms of efficiency and utility.展开更多
文摘采用感官定量描述分析法(SQDA)对A(JA1~JA3)、B(JB1~JB3)、C(JC1~JC3)三组复合香型白酒9个样品的风味结构进行分析,结果表明:三组复合香型白酒在香气评分上差异不显著,粮香、焦香、麦芽香突出,在口感评分上差异显著,A组白酒各维度口感评分高于其他两组。采用顶空-气相色谱质谱联用技术(HS-GC-MS)对3种白酒挥发性化合物组成进行检测分析,共检测到148种挥发性物质。相关性分析结果显示,异丁醛、3-甲基呋喃、二甲基二硫醚、巴豆酸、环氧丙烷、丙烯醛和草酸只在A组白酒中被检测出来,丁酸乙酯在B组白酒中含量最高,JA3中含量偏低,表明3组白酒样品间存在明显的风味物质种类和含量差异。同步结合特征差异代谢物分析挖掘出74个VIP>1的潜在差异代谢物,A vs B组、A vs C组、B vs C组分别有14种、7种、4种化合物呈现极显著性差异(p<0.01),这些含量具有显著差异性的化合物可能与复合香型白酒风味特征的差异具有重要联系。综上所述,本研究采用两种技术协同分析,获得了3种白酒更全面的挥发性风味信息,解析了三组复合香型白酒的风味结构特征及差异,为深入研究复合香型白酒风味形成的机理奠定了基础。
文摘为解决互联网终端接入安全问题,保证无线网状网络部署规模,应用主服务协议(master service agreement,MSA)设计一款功能完善、实用性强的无线网络安全系统。首先,设计和搭建系统架构和运行环境;其次,分别完成对网状节点发现、网状连接管理、美国机动工程师协会(Society of Automotive Engineers,SAE)认证、网状钥匙分配器(management of key distribution,MKD)与密钥管理、四次握手过程等模块的设计,保证系统功能实现效果;最后,对系统安全性进行验证。结果表明:在MSA的应用背景下,所设计的无线网络安全系统可以在确保认证准确度的基础上,有效地缩小认证时延,完全符合预期设计标准和要求。
文摘The inability of traditional privacy-preserving models to protect multiple datasets based on sensitive attributes has prompted researchers to propose models such as SLOMS,SLAMSA,(p,k)-Angelization,and(p,l)-Angelization,but these were found to be insufficient in terms of robust privacy and performance.(p,l)-Angelization was successful against different privacy disclosures,but it was not efficient.To the best of our knowledge,no robust privacy model based on fuzzy logic has been proposed to protect the privacy of sensitive attributes with multiple records.In this paper,we suggest an improved version of(p,l)-Angelization based on a hybrid AI approach and privacy-preserving approach like Generalization.Fuzz-classification(p,l)-Angel uses artificial intelligence based fuzzy logic for classification,a high-dimensional segmentation technique for segmenting quasi-identifiers and multiple sensitive attributes.We demonstrate the feasibility of the proposed solution by modelling and analyzing privacy violations using High-Level Petri Nets.The results of the experiment demonstrate that the proposed approach produces better results in terms of efficiency and utility.
